KI-Beratung Beta

Gutscheinbedingungen

**Gültig bis 11.11.2026 auf Spielzeug, Schreibwaren, Filme, Geschenke & Trends, Musik, tolino eReader & Zubehör, Hörbücher und Hörbuch-Downloads, nicht preisgebundene Bücher und Kalender online auf thaalia.live und in der Thalia App. Einzelne Artikel können ausgeschlossen sein. Aufgrund der Buchpreisbindung sind deutschsprachige Bücher und eBooks ausgenommen. Zusätzlich ausgenommen sind Abos & Flatrates, Games, Geschenkkarten/-boxen, Shelfies, Software, Zeitschriften sowie einzelne Artikel von tonies®. Pro Einkauf einmal einlösbar. Click & Collect nur bei Onlinevorabzahlung möglich. Keine Barauszahlung. Nicht kombinierbar mit anderen Aktionen und Gutscheinen. Gutschein wird auf max. 500€ Bestellwert angerechnet. Nicht gültig für Versandkosten und Services.

  • Produktbild: Stochastic Distribution Control System Design
  • Produktbild: Stochastic Distribution Control System Design
- 11%

Stochastic Distribution Control System Design A Convex Optimization Approach

11% sparen

96,99 € UVP 109,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed....

Beschreibung

A recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of LMI-based convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. It starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control andFDD problems.

Rezension

From the reviews:

“The book deals with numerous methods of the design of stochastic distribution control systems. … It includes the recent results and presents the dynamic development of research in this field. Since the stochastic distribution control is an interesting approach as well from theoretical point of view as in many applications the publishing of this book seems to be very valuable. … The book provides complementary material for graduate courses.” (Leslaw Socha, Zentralblatt MATH, Vol. 1226, 2012)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.07.2012

Abbildungen

XVIII, 196 p. 62 illus.

Verlag Springer London

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.07.2012

Abbildungen

XVIII, 196 p. 62 illus.

Verlag Springer London
Seitenzahl

196

Maße (L/B/H)

23,5/15,5/1,2 cm

Gewicht

335 g

Sprache

Englisch

ISBN

978-1-4471-2559-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Stochastic Distribution Control System Design
  • Produktbild: Stochastic Distribution Control System Design
  • Developments in Stochastic Distribution Control Systems.- Developments in Stochastic Distribution Control Systems.- Structural Controller Design for Stochastic Distribution Control Systems.- Proportional Integral Derivative Control for Continuous-time Stochastic Systems.- Constrained Continuous-time Proportional Integral Derivative Control Based on Convex Algorithms.- Constrained Discrete-time Proportional Integral Control Based on Convex Algorithms.- Two-step Intelligent Optimization Modeling and Control for Stochastic Distribution Control Systems.- Adaptive Tracking Stochastic Distribution Control for Two-step Neural Network Models.- Constrained Adaptive Proportional Integral Tracking Control for Two-step Neural Network Models with Delays.- Constrained Proportional Integral Tracking Control for Takagi-Sugeno Fuzzy Model.- Statistical Tracking Control – Driven by Output Statistical Information Set.- Multiple-objective Statistical Tracking Control Based on Linear Matrix Inequalities.-Adaptive Statistical Tracking Control Based on Two-step Neural Networks with Time Delays.- Fault Detection and Diagnosis for Stochastic Distribution Control Systems.- Optimal Continuous-time Fault Detection Filtering.- Optimal Discrete-time Fault Detection and Diagnosis Filtering.- Conclusions.- Summary and Potential Applications.